update desc

README.md

@@ -68,9 +68,11 @@ inference:
 
 - **Use cases:** long narrative summarization (think stories - as the dataset intended), article/paper/textbook/other summarization, technical:simple summarization. 
   - Models trained on this dataset tend to also _explain_ what they are summarizing, which IMO is awesome.
-- This is an 'upgraded' version of [`pszemraj/led-base-16384-finetuned-booksum`](https://huggingface.co/pszemraj/led-base-16384-finetuned-booksum), it has trained for a total of six more epochs with the parameters adjusted for _very_ fine-tuning type training (super low LR, etc)
+- Trained for 16 epochs vs. [`pszemraj/led-base-16384-finetuned-booksum`](https://huggingface.co/pszemraj/led-base-16384-finetuned-booksum), 
+
+  - parameters adjusted for _very_ fine-tuning type training (super low LR, etc)
   - all the parameters for generation on the API are the same for easy comparison between versions.
-- works well on lots of text, can hand 16384 tokens/batch.
+- works well on lots of text, and can hand 16384 tokens/batch.
   
 ## Other Checkpoints on Booksum